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Selective association between cortical thickness and reference abilities in normal aging.

Seonjoo Lee1, Christian Habeck2, Qolamreza Razlighi2

  • 1Division of Biostatistics, New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Columbia University, New York, NY, USA.

Neuroimage
|June 30, 2016
PubMed
Summary
This summary is machine-generated.

Detailed brain cortical thickness patterns reveal specific cognitive abilities, including memory and vocabulary, independent of age. This research highlights localized brain-cortex associations beyond global cognition measures.

Keywords:
Cognitive agingL-1 regularizationMultivariate multiple regressionNormal agingPrincipal component analysisReference abilities

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Imaging

Background:

  • Previous studies showed cognitive abilities and cortical thickness associations were obscured by global measures.
  • Global cognition correlates with mean cortical thickness but also exhibits regional specificity.

Purpose of the Study:

  • To investigate if detailed spatial patterns of cortical thickness can identify cognitive ability-specific associations.
  • To examine associations between cortical thickness and memory, perceptual speed, and vocabulary, controlling for global factors and age.

Main Methods:

  • Analysis of detailed spatial patterns of cortical thickness.
  • Statistical control for mean cortical thickness, global cognition, and linear chronological age.

Main Results:

  • Specific associations were found between cortical thickness and memory, perceptual speed, and vocabulary.
  • Global cognition showed both mean thickness correlation and regionally specific associations.
  • No nonlinear associations were observed for cognition, age effects, or age-by-thickness interactions.

Conclusions:

  • Preserving detailed cortical thickness patterns is crucial for identifying localized brain-behavior relationships.
  • Cognition-cortical thickness associations are independent of age, suggesting brain-behavioral invariance across the lifespan.